Run
8607731

Run 8607731

Task 146803 (Supervised Classification) credit-g Uploaded 02-12-2017 by OpenML_Bot R
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • botV1 mlrRandomBot sciBenchV1.0
Issue #Downvotes for this reason By


Flow

mlr.classif.ranger(15)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(15)_num.trees186
mlr.classif.ranger(15)_mtry8
mlr.classif.ranger(15)_min.node.size1
mlr.classif.ranger(15)_sample.fraction0.878210994694382
mlr.classif.ranger(15)_num.threads1
mlr.classif.ranger(15)_verboseFALSE
mlr.classif.ranger(15)_openml.seed1
mlr.classif.ranger(15)_openml.kindMersenne-Twister
mlr.classif.ranger(15)_openml.normal.kindInversion

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.7971
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7516
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3887
Cross-validation details (10-fold Crossvalidation)
KB relative information score
216.1284
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3277
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4202
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7525
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.765
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8818
Cross-validation details (10-fold Crossvalidation)
Recall
0.765
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7798
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4004
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8736
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1172.5347
UserCPU time millis
2.56
UserCPU time millis testing
0.27
UserCPU time millis training
2.29